--- toc_priority: 209 --- # quantileBFloat16 {#quantilebfloat16} Computes an approximate [quantile](https://en.wikipedia.org/wiki/Quantile) of a sample consisting of [bfloat16](https://en.wikipedia.org/wiki/Bfloat16_floating-point_format) numbers. `bfloat16` is a floating-point data type with 1 sign bit, 8 exponent bits and 7 fraction bits. The function converts input values to 32-bit floats and takes the most significant 16 bits. Then it calculates `bfloat16` quantile value and converts the result to a 64-bit float by appending zero bits. The function is a fast quantile estimator with a relative error no more than 0.390625%. **Syntax** ``` sql quantileBFloat16[(level)](expr) ``` Alias: `medianBFloat16` **Arguments** - `expr` — Column with numeric data. [Integer](../../../sql-reference/data-types/int-uint.md), [Float](../../../sql-reference/data-types/float.md). **Parameters** - `level` — Level of quantile. Optional. Possible values are in the range from 0 to 1. Default value: 0.5. [Float](../../../sql-reference/data-types/float.md). **Returned value** - Approximate quantile of the specified level. Type: [Float64](../../../sql-reference/data-types/float.md#float32-float64). **Example** Input table has an integer and a float columns: ``` text ┌─a─┬─────b─┐ │ 1 │ 1.001 │ │ 2 │ 1.002 │ │ 3 │ 1.003 │ │ 4 │ 1.004 │ └───┴───────┘ ``` Query to calculate 0.75-quantile (third quartile): ``` sql SELECT quantileBFloat16(0.75)(a), quantileBFloat16(0.75)(b) FROM example_table; ``` Result: ``` text ┌─quantileBFloat16(0.75)(a)─┬─quantileBFloat16(0.75)(b)─┐ │ 3 │ 1 │ └───────────────────────────┴───────────────────────────┘ ``` Note that all floating point values in the example are truncated to 1.0 when converting to `bfloat16`. # quantileBFloat16Weighted {#quantilebfloat16weighted} Like `quantileBFloat16` but takes into account the weight of each sequence member. **See Also** - [median](../../../sql-reference/aggregate-functions/reference/median.md#median) - [quantiles](../../../sql-reference/aggregate-functions/reference/quantiles.md#quantiles)